AI-Native Engineering Needs a Shared Operating Layer, Not a Bigger Context Window
By
Rapidkit
Summary
The article argues that the missing piece in AI-native engineering is not a larger context window for AI models, but rather a shared "operating layer" that provides a single source of truth for developers, CI pipelines, and AI agents. It highlights how human developers have historically compensated for scattered system knowledge through social memory and experience, while AI agents lack this ability and need a structured, shared workspace to operate effectively.
Source
Key quotes
· 3 pulledAI did not make software systems complicated. It made the complexity harder to ignore.
Before AI agents entered the workflow, teams already lived with scattered system knowledge.
AI agents do not have that social memory. They see files. They infer. They act.
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